{"id":"W4409238745","doi":"10.5430/afr.v14n2p13","title":"The Impact of the Use of Artificial Intelligence on the Development of External Audit Efficiency in Jordanian Mining and Extractive Corporations","year":2025,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Business; Accounting; Operations management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004427939,0.0001774117,0.0001603656,0.001900236,0.0005607958,0.00300423,0.0003320508,0.0002777393,0.00100928],"category_scores_gemma":[0.02184522,0.0001038841,0.0002222891,0.001800387,0.001201086,0.001356294,0.00133734,0.0005707535,0.0001245357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179683,"about_ca_system_score_gemma":0.003414119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004171359,"about_ca_topic_score_gemma":0.005882047,"domain_scores_codex":[0.9942021,0.002552971,0.0005335897,0.0002944498,0.001854025,0.000562924],"domain_scores_gemma":[0.9527028,0.01532138,0.01624997,0.001971556,0.01148253,0.002271841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001071774,0.0002480322,0.8689728,0.0001625915,0.0001048723,0.0003304679,0.004334101,0.002882076,0.0007984943,0.002932296,0.0005692145,0.118558],"study_design_scores_gemma":[0.0000055513,0.0002162653,0.9816933,0.0001399372,0.00004699142,0.0002603773,0.007371682,0.002815729,0.001440733,0.001080668,0.004903946,0.00002486724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916328,0.0003900502,0.0005545433,0.0005232962,0.000006365454,0.00001861656,0.00002400983,0.000009223259,0.006841029],"genre_scores_gemma":[0.9989337,0.0001992673,0.0004084937,0.00003025191,0.00000582338,0.00000373158,0.00001969913,0.000001779111,0.0003971134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004427939,"threshold_uncertainty_score":0.02341747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081069909928025,"score_gpt":0.3556754083115075,"score_spread":0.247568417318705,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}